Shayak Banerjee, Kanak B. Agarwal, et al.
J. Micro/Nanolithogr. MEMS MOEMS
This paper presents a computationally efficient means for estimating parametric timing yield and guiding robust design-for-quality in the presence of manufacturing and operating environment variations. Computational efficiency is achieved by basing the proposed methodology on a post-processing step applied to the report generated as a by-product of static timing analysis. Efficiency is also ensured by exploiting the fact that for small processing/environment variations, a linear model is adequate for capturing the resulting delay change. Meaningful design guidance is achieved by analyzing the timing-related influence of variations on a path-by-path basis, allowing designers perform a quality-oriented design pass focused on key paths. A coherent strategy is provided to handle both die-to-die and within-die variations. Examples from a PowerPC microprocessor illustrate the methodology and its capabilities.
Shayak Banerjee, Kanak B. Agarwal, et al.
J. Micro/Nanolithogr. MEMS MOEMS
Rouwaida Kanj, Rajiv Joshi, et al.
ICICDT 2007
Juan Antonio Carballo, Sani Nassif
AMM 2004
Duane Boning, Joseph Panganiban, et al.
TAU 2002